基于偏移角与欧式距离的声波驱动微粒控制算法

Acoustic manipulation particle control algorithm based on theoffset angle and Euclidean distance

控制算法作为声波驱动微粒技术中的重要环节,极大影响着驱动任务的完成精度与速度.然而,目前的声波驱动微粒控制算法由于难以选择最佳的驱动声波,导致其控制精度较低且速度较慢.为了解决该问题,本文将声波驱动过程中微粒运动的偏移角与欧式距离相结合,设计了一种控制速度快、精度高的声波驱动微粒控制算法.该算法通过偏移角和微粒当前位置与目标位置的欧氏距离来计算驱动度并评估声波驱动效果的优劣,然后选择驱动效果最优的声波来驱动微粒.实验结果表明,本文算法在多种不同驱动任务上均能得到良好的控制速度与精度,尤其在较复杂的多微粒驱动任务上性能提升更为明显.

The control algorithm is an important component in the technology of acoustic manipulation particle,which greatly affects the completion accuracy and speed of the driving task.However,the current manipulation particle control algorithm is difficult to select the best driving sonic wave,resulting in low control accuracy and slow speed.To address this issue,we propose an acoustic manipulation particle control algorithm with fast control speed and high accuracy by combining the offset angle and Euclidean distance of particles.The algorithm evaluates the acoustic driving effect by computing the driving degree using the offset angle and the Euclidean distance between the current position and the destination position,and then selects the acoustic driving particles with the best driving effect.The experimental results show that the proposed algorithm can achieve good control speed and accuracy in many different driving tasks,especially in the more complex multi-particle driving tasks.